We help your organisation identify and define a pressing or business challenge. Prizes are set with your organisation, with complexity of the challenge as a determining factor.

Zindi data scientists work with your organisation to determine which datasets are needed to solve the challenge and assist in building the datasets in the appropriate format.

Data is fully anonymised and masked where needed. Challenge solutions are built on static data - models can be implemented in real-time post competition if required.

A description of the challenge and prize money up for grabs, as well as the challenge datasets, are posted on zindi.africa. The competition is promoted to the Zindi community, advertised on social media platforms like LinkedIn, Twitter, and Facebook, and spread throughout our partner network. For clients for whom privacy is an overriding concern, fully private competitions are also available.

Up to a thousand data scientists (or more!) download training and test datasets and build solutions. Typically, solutions comprise data processing, feature building and one or more machine learning techniques.

Competitors can submit several solutions during the competition. Their submissions, based on the test set they dowloaded, are ranked in real-time on an automated leaderboard. At the close of the competition, submissions are scored against a private (i.e. hidden) dataset based on the accuracy they achieve. The final rankings are always 100% objective and fair, and we ensure their relevance to you and your organisation’s needs.